Event Taxonomy
Outline
Welcome
In this module, you'll explore how Event Taxonomy works in Optimizely Analytics. Event taxonomy is the framework that defines how events are named, structured, and described within Analytics, making it easier for teams to understand, manage, and analyze behavioral data consistently across your organization.
By establishing a standardized taxonomy, you ensure that data collected from different sources is easy to interpret, aligns with business goals, and supports scalable analysis.
After completing this lesson, you should be able to:
Understand the role and purpose of an event taxonomy in Analytics
Identify the components of an event and their meanings
Create and manage clear, consistent event names and descriptions
Apply best practices to maintain a clean and scalable event structure
What is Event Taxonomy?
Event taxonomy is the structured naming and classification system used to define and organize events in Optimizely Analytics. It ensures that product and customer behavioral data is consistent, interpretable, and actionable for analysis.
A well-defined event taxonomy allows your teams to:
Understand what each event represents
Reduce duplication and naming conflicts
Support better data governance and collaboration
Access Events
Explore the interactive demo below to see how event organization and modification works in practice: https://optimizely.navattic.com/vrh802kz
What Are Custom Events?
Custom events are user-defined events that group together multiple related events under a single event stream. Youcan create them directly from the Events section or through the app’s Menu bar. These custom events allow you toorganize complex event data into meaningful cohorts that reflect specific behaviors or business logic.
Create a Custom Event
See how to create a custom event in the demo below: https://optimizely.navattic.com/sph902m6
Edit, Duplicate, or Delete a Custom Event
Jump to the next demo to learn how to manage your custom events effectively: https://optimizely.navattic.com/mchf042n